MY191004A - Vehicle inspection system, and method and system for identifying part of vehicle - Google Patents

Vehicle inspection system, and method and system for identifying part of vehicle

Info

Publication number
MY191004A
MY191004A MYPI2017705034A MYPI2017705034A MY191004A MY 191004 A MY191004 A MY 191004A MY PI2017705034 A MYPI2017705034 A MY PI2017705034A MY PI2017705034 A MYPI2017705034 A MY PI2017705034A MY 191004 A MY191004 A MY 191004A
Authority
MY
Malaysia
Prior art keywords
vehicle
vehicle body
identified
identifying
inspection system
Prior art date
Application number
MYPI2017705034A
Inventor
Xu Yanwei
Hu Zheng
Wang Yongming
Gao Chuan
Yu Weifeng
Li Qiang
Ma Yuan
Gu Jianping
Hu Yu
Sun Shangmin
Original Assignee
Nuctech Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nuctech Co Ltd filed Critical Nuctech Co Ltd
Publication of MY191004A publication Critical patent/MY191004A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q99/00—Subject matter not provided for in other groups of this subclass
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G06T3/4046—Scaling of whole images or parts thereof, e.g. expanding or contracting using neural networks
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/88—Investigating the presence of flaws or contamination
    • G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N21/9515—Objects of complex shape, e.g. examined with use of a surface follower device
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/047—Probabilistic or stochastic networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformations in the plane of the image
    • G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/70—Determining position or orientation of objects or cameras
    • G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
    • G06T7/74—Determining position or orientation of objects or cameras using feature-based methods involving reference images or patches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30248—Vehicle exterior or interior
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/10—Internal combustion engine [ICE] based vehicles
    • Y02T10/40—Engine management systems

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Analytical Chemistry (AREA)
  • Pathology (AREA)
  • Immunology (AREA)
  • Biochemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Signal Processing (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Image Analysis (AREA)
  • Traffic Control Systems (AREA)

Abstract

The present disclosure discloses a method and system for identifying a part of a vehicle and a vehicle inspection system. The method includes: acquiring (S 110) a vehicle body image sequence of a vehicle to be identified; reconstructing (S 120) the vehicle body by using a first vehicle body reconstruction model generated through a deep learning algorithm and on the basis of the vehicle body image sequence, so as to acquire a vehicle body reconstruction image of the vehicle to be identified; and identifying (S 130) a boundary identifier of the vehicle to be identified on the basis of the vehicle body reconstruction image of the vehicle to be identified. The present disclosure increases the identification accuracy rate of the boundary identifier, and quickens the identification speed. (Fig. 1)
MYPI2017705034A 2016-12-28 2017-12-27 Vehicle inspection system, and method and system for identifying part of vehicle MY191004A (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611236364.5A CN106651881B (en) 2016-12-28 2016-12-28 Vehicle inspection system, vehicle part recognition method and system

Publications (1)

Publication Number Publication Date
MY191004A true MY191004A (en) 2022-05-27

Family

ID=58832274

Family Applications (1)

Application Number Title Priority Date Filing Date
MYPI2017705034A MY191004A (en) 2016-12-28 2017-12-27 Vehicle inspection system, and method and system for identifying part of vehicle

Country Status (5)

Country Link
US (1) US10497144B2 (en)
EP (1) EP3343442A1 (en)
CN (1) CN106651881B (en)
BR (1) BR102017028319A8 (en)
MY (1) MY191004A (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB2556941B (en) * 2016-11-28 2021-10-20 Smiths Heimann Sas Detection of irregularities using registration
CN109304306B (en) * 2018-09-19 2020-08-11 广东省智能制造研究所 Production line object sorting method and system and object sorting system
CN113496563B (en) * 2020-03-19 2023-04-25 杭州海康威视数字技术股份有限公司 Intelligent gate management method, device and equipment
CN112200231B (en) * 2020-09-29 2024-04-30 深圳市信义科技有限公司 Dangerous goods vehicle identification method, system, device and medium
CN112329772B (en) * 2020-11-06 2024-03-05 浙江大搜车软件技术有限公司 Vehicle part identification method, device, electronic device and storage medium
CN113723258B (en) * 2021-08-24 2024-05-28 广州邦讯信息系统有限公司 Dangerous goods vehicle image recognition method and related equipment thereof

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102010038905A1 (en) * 2010-08-04 2012-02-09 Robert Bosch Gmbh Method and device for determining wheel and body movements of a vehicle
CN102749030B (en) * 2012-06-14 2015-09-30 北京理工大学 Based on the boxcar volume integral segmentation method of pulse time-of-flight laser ranging
CN102867416B (en) * 2012-09-13 2014-08-06 中国科学院自动化研究所 Vehicle part feature-based vehicle detection and tracking method
CN103593981B (en) * 2013-01-18 2016-08-24 西安通瑞新材料开发有限公司 A kind of model recognizing method based on video
CN104091181A (en) * 2014-07-15 2014-10-08 中国科学院合肥物质科学研究院 Injurious insect image automatic recognition method and system based on deep restricted Boltzmann machine
CN104391339B (en) 2014-12-17 2018-02-09 同方威视技术股份有限公司 Model recognizing method and the quick inspection system of vehicle using this method
CN105809088B (en) 2014-12-30 2019-07-19 清华大学 Vehicle identification method and system
CN105427614A (en) * 2015-08-28 2016-03-23 北京动视元科技有限公司 Model classification system and method
CN107358596B (en) * 2017-04-11 2020-09-18 阿里巴巴集团控股有限公司 Vehicle loss assessment method and device based on image, electronic equipment and system

Also Published As

Publication number Publication date
EP3343442A1 (en) 2018-07-04
US20180182126A1 (en) 2018-06-28
BR102017028319A8 (en) 2023-04-25
US10497144B2 (en) 2019-12-03
CN106651881B (en) 2023-04-28
BR102017028319A2 (en) 2019-01-02
CN106651881A (en) 2017-05-10

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